April 2020
Intermediate to advanced
294 pages
7h 53m
English
There are several different libraries and frameworks that developers can use to create a model for their dataset. A quick overview of the different tools can be seen in the following diagram:

For developers working with embedded systems, it's fairly common for either TensorFlow or Caffe to be used to convert their dataset into a machine learning model.
TensorFlow is a software library developed by Google that is used for machine learning applications that use neural networks. The library was open sourced in 2015 under the Apache 2.0 license.
Caffe is a deep learning framework that is written in C++ and was ...
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